| Mortar: an open testbed for portable building analytics G Fierro, M Pritoni, M AbdelBaky, D Lengyel, J Leyden, A Prakash, ... ACM Transactions on Sensor Networks (TOSN) 16 (1), 1-31, 2019 | 77 | 2019 |
| John Leyden, Anand Prakash, Pranav Gupta, Paul Raftery, Therese Peffer, Greg Thomson, and David E. Culler. 2019. Mortar: An Open Testbed for Portable Building Analytics G Fierro, M Pritoni, M Abdelbaky, D Lengyel ACM Trans. Sen. Netw 16 (1), 0 | 6 | |
| Genni: Visualising the geometry of equivalences for neural network identifiability D Lengyel, J Petangoda, I Falk, K Highnam, M Lazarou, A Kolbeinsson, ... arXiv preprint arXiv:2011.07407, 2020 | 5 | 2020 |
| Kernel sum of squares for data adapted kernel learning of dynamical systems from data: A global optimization approach D Lengyel, P Parpas, B Hamzi, H Owhadi arXiv preprint arXiv:2408.06465, 2024 | 2 | 2024 |
| Curvature Aligned Simplex Gradient: Principled Sample Set Construction For Numerical Differentiation D Lengyel, P Parpas, N Kantas, NR Jennings arXiv preprint arXiv:2310.12712, 2023 | 1 | 2023 |
| On Flat Minima, Large Margins and Generalizability D Lengyel, N Jennings, P Parpas, N Kantas | 1 | 2021 |
| Efficient regression with deep neural networks: how many datapoints do we need? D Lengyel, A Borovykh Has it Trained Yet? NeurIPS 2022 Workshop, 0 | 1 | |
| Dealing with expected thermal discomfort AA Panagopoulos, M Katsigiannis, M Pritoni, G Fierro, D Lengyel, T Peffer, ... | | 2018 |
| From Plateaus to Progress: Unveiling Training Dynamics of PINNs R Pandya, P Parpas, D Lengyel | | |
